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Ph.D. Researcher · UCF · LIMB Lab
Bridging brain, body, and machine — I develop neuromorphic sensing systems and adaptive decoders for dexterous prosthetic and robotic control.
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Designed a piezoresistive tactile pipeline for robotic fingertips enabling real-time texture recognition across 21 surface conditions with low-latency, energy-efficient edge deployment. Led to the uSense paper submitted to Nature Machine Intelligence.
Live signal simulation
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Designed and deployed a multimodal hand-gesture dataset via LSL synchronization. Developed a position-agnostic, day-agnostic, user-agnostic EMG decoder — published in IEEE TNSRE 2025.
sEMG signal stream
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Fusing ultrasound, sEMG, and IMU signals to build a generalizable gesture decoder. Investigating cross-modal correlations to relate peripheral muscle activity to cortical signals for next-gen prosthetic interfaces.
Accuracy by modality
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Increased emotion recognition accuracy by 9% using lower-dimensional Riemannian geometry. Improved feature selection achieving +5% accuracy gain. Published in Applied Sciences 2023.
Feature cluster map
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Implemented Visual SLAM with Intel RealSense for safe indoor navigation. Led system-level design across sensing, perception, and evaluation. Mentored undergraduates in ROS and Linux development.
Sensor signal trace
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Built CNN-based crop disease and ripeness classification. Achieved collision-free navigation using HRI. Annotated tomato ripeness dataset; presented at IEEE ICCAS & IEMCON.
Classification accuracy
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Experiment setup or equipment photo
Tactile sensor / prosthetic demo
EEG / biosignal recording
Conference or poster presentation
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I'm open to research collaborations, industry positions in neurotech, BCI, robotics, and AI — and conversations about the future of human–machine interaction.